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Updated figure, caption and acknowledgement in paper
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paper/imgs/solshade.pdf

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paper/paper.md

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*Solshade* is a Python library for modeling solar illumination over complex
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terrain using *Digital Elevation Models (DEMs)* and precise *orbital geometry*.
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It bridges geospatial analysis and astronomical modeling, enabling researchers
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to quantify how sunlight interacts with landscapes over time. Applications
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include studying permafrost thaw, plant life cycles, snowmelt dynamics, and
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other solar-driven processes in diverse environments.
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to precisely quantify how sunlight interacts with landscapes over time.
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Applications include studying permafrost thaw, plant life cycles, snowmelt
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dynamics, and other solar-driven processes in diverse environments.
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Solshade provides both a *command-line interface (CLI)* and a *Python API*.
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Outputs are written as *GeoTIFFs* for geospatial compatibility, and built-in
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![Top row: (i) Digital Elevation Model, (ii) Total solar energy over the study
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period, and (iii) Day of peak solar energy. Bottom panels: Solar irradiance
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time series for eight selected locations, illustrating differences in diurnal
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illumination across terrain features.](imgs/solshade.pdf){ width=100% }
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illumination across terrain features, with legends describing the altitude (ALT),
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aspect (ASP) and slope (SLP) of the sampled pixel.
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](imgs/solshade.pdf){ width=100% }
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# Acknowledgements
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Heiberg Island, 2025. *Solshade* is the first of many ideas which were sparked
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by these discussions.
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A. C. acknowledges support from the Trottier Space Institute Fellowship program,
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which enabled parts of this research.
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I acknowledge the Polar Continental Shelf Program for providing funding
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and logistical support for our research program. I also acknowledges
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support from the Trottier Space Institute Fellowship program, which enabled
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parts of this research. This research was undertaken, in part, thanks to
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funding from the Canada 150 Research Chairs Program.
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# References

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